El jefe de taller que me tiene que enviar un presupuesto desde hace 2 semanas me ha llamado varias veces para que rellene la encuesta de satisfacción de la revisión con un 10. El empresario incentiva mal, el trabajador prioriza mal.
Hay mucho a mejorar en los concesionarios…
We just raised $85M, Europe's largest ever robotics Series A, led by @CRV, with backing from @Samsung and @LVMH.
But this story did not start today.
Carla and Jia have been obsessed with robots since they were kids. They met as engineers at UPC, started the university's robotics club, and competed and won at an international level.
Years later, that obsession became THEKER: a company built from Barcelona to be the largest in the world, and to crack the technical problems other people call impossible.
Today we are well on our way to the goal we set on day one: solve 100% of physical work. Our robots are live in production, improving every day, and the pace is only increasing.
This round is not the destination. It is one more step in the right direction.
Thank you to everyone who got us here. To our team, who hold a standard most people would call unreasonable. To our customers, who push us to become better. And to our investors, old and new, who saw it before the rest of the world did.
If this mission excites you, we are hiring across the board. Come build it with us.
We will win.
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗
Un experimento fascinante: entrenar un modelo con datos hasta una determinada fecha (en el ejemplo, antes de 1931) para comprobar si la IA puede anticipar sucesos futuros o descubrir cosas que en aquel momento no se conocían 😮
https://t.co/ztNI1DBERw
Els que em coneixen m'han sentit a dir moltes vegades que @PaperLC és una startup fundada el 1881. No ho dic per dir: hi ha determinades coses que només les poden fer les startups. Un exemple recent és el programa Tramuntana: un software 100% propietari i personalitzat, desenvolupat íntegrament in-house (Claude Code), fruit de la coordinació i treball conjunt de pràcticament tots els departaments: finances, producció, compres, comercial, energia...
El resultat ens permet no només generar preus de venda precisos en un entorn canviant i sobre processos complexos de modelitzar, sinó també validar retroactivament que els preus entrats a comandes del nostre ERP segueixen sent vigents, i tenir una visió mil·limètrica de l'estructura de costos de cada bobina fabricada. Unes 850.000 línies de codi, 6 mesos de desenvolupament i cost pràcticament negligible, tret de les hores dels professionals de la casa involucrats. És la típica bogeria que si algú la feia havia de ser LC, i així ha estat una vegada més.
Una consecuencia de segundo orden del empoderamiento que da la IA es la falta de tiempo.
Me explico. Antes había muchas cosas que me resultaban interesantes pero que ni me planteaba abordar por incompetencia (esto está fuera de mi área y todo lo que tendría que aprender para
Un desarrollador danés, flipando con Autofirma, deja un educado comentario en el repositorio de desarrollo.
Es imposible explicarlo mejor:
«En el sector privado, lanzar software en este estado supondría un fracaso comercial inmediato. El hecho de que esta aplicación sea obligatoria para los ciudadanos españoles no exime al equipo de desarrollo de cumplir con los estándares modernos de seguridad y distribución. Exige estándares más altos, no más bajos».
¡Necesitamos más software de código abierto en la Administración pública!
TODAY: Amazon is opening its entire logistics network—freight, distribution, fulfillment, and parcel shipping capabilities—to every business, of all types and sizes. 📦
Amazon has built one of the most reliable and efficient supply chains on Earth. Now, Amazon Supply Chain Services gives all businesses access to the same infrastructure that moves, stores, and ships goods for hundreds of thousands of Amazon sellers.
Healthcare, automotive, manufacturing, retail, and more. Businesses across industries can now tap into Amazon's logistics network. Learn more here. ⬇️
“Supponete che io vi ingaggi per riparare il mio computer. Il lavoro per me vale 200 dollari e fare il lavoro per voi vale 200 dollari. La transazione si farà perché abbiamo una coincidenza di idee. Adesso supponete che ci sia un’imposizione fiscale sulle vostre entrate del 30 percento. Questo significa che non riceverete 200 dollari, ma bensì 140. Potreste dire col cavolo che volete lavorare con me, passare la giornata con la vostra famiglia vale più di 140 dollari. Vi potreste offrire per fare il lavoro se io vi pagassi 285 dollari. In quel modo, dopo le tasse, il vostro guadagno sarà di 200 dollari, cioè quello che per voi vale il lavoro. Però c’è un problema. Il lavoro di riparazione per me vale 200, non 285 dollari. Quindi è il mio turno per dire col cavolo. Questo semplice esempio dimostra che un effetto delle tasse è quello di eliminare transazioni e quindi lavori.”
(Dr. Walter E. Williams)